The roles and impacts of human hunter-gatherers in North Pacific

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OPEN
received: 16 July 2015
accepted: 19 January 2016
Published: 17 February 2016
The roles and impacts of human
hunter-gatherers in North Pacific
marine food webs
Jennifer A. Dunne1, Herbert Maschner2, Matthew W. Betts3, Nancy Huntly4, Roly Russell5,
Richard J. Williams6 & Spencer A. Wood7,8
There is a nearly 10,000-year history of human presence in the western Gulf of Alaska, but little
understanding of how human foragers integrated into and impacted ecosystems through their roles
as hunter-gatherers. We present two highly resolved intertidal and nearshore food webs for the Sanak
Archipelago in the eastern Aleutian Islands and use them to compare trophic roles of prehistoric humans
to other species. We find that the native Aleut people played distinctive roles as super-generalist and
highly-omnivorous consumers closely connected to other species. Although the human population was
positioned to have strong effects, arrival and presence of Aleut people in the Sanak Archipelago does
not appear associated with long-term extinctions. We simulated food web dynamics to explore to what
degree introducing a species with trophic roles like those of an Aleut forager, and allowing for variable
strong feeding to reflect use of hunting technology, is likely to trigger extinctions. Potential extinctions
decreased when an invading omnivorous super-generalist consumer focused strong feeding on
decreasing fractions of its possible resources. This study presents the first assessment of the structural
roles of humans as consumers within complex ecological networks, and potential impacts of those roles
and feeding behavior on associated extinctions.
Most studies of the relationships of humans and ecosystems are presented in terms of human impacts on ecosystems1,2. However, our ability to understand and mitigate human impacts depends on research that elucidates the
roles humans play in ecosystems including how they interact with other species3. In modern marine ecosystems,
humans are depleting many commercial fisheries, causing major disruptions to ecosystem function and the persistence of species1,4–7. As a result, regulators have curtailed fisheries and excluded local peoples from traditional
harvesting territories2. This is a critical problem for the Aleut peoples of the western Gulf of Alaska, who depend
strongly on biotic resources from the marine communities8–10. This central dependence on marine resources
stretches back throughout the nearly 10,000-year prehistory of human presence in the North Pacific, raising the
questions of what kinds of impacts humans have had on marine species and ecosystems in this area and how
should future impacts be managed. In general, the specific roles that local, prehistoric peoples have played in
the structure and functioning of marine ecosystems are poorly documented and largely unknown or necessarily
somewhat speculative.
Unlike in many terrestrial systems, where there is increasing evidence that prehistoric humans likely contributed directly and indirectly to the extinction of a number of species, there is little evidence for such extinctions in
marine systems11. This does not mean that prehistoric humans had no significant impacts on marine ecosystems.
For example, in the Aleutian Islands, there is evidence that through hunting of sea otters, prehistoric humans
may have caused certain areas to switch from algal-dominated kelp-forest habitats into sea-urchin-dominated
barrens devoid of macroalgae12, a well-documented trophic cascade. This in turn could have limited the habitat
and population of Steller’s sea cows, which also were probably hunted or scavenged occasionally by prehistoric
1
Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA. 2Center for Virtualization and Applied Spatial
Technologies, University of South Florida, 4202 E. Fowler Ave., NES 107, Tampa, FL 33620. 3Canadian Museum
of History, 100 Laurier Street, Gatineau, QC K1A 0M8, Canada. 4Ecology Center, Utah State University, 5205 Old
Main Hill, Logan, UT 84322-5205, USA. 5The Sandhill Institute for Complexity and Sustainability, Grand Forks,
British Columbia, Canada. 6VibrantData Inc., 943 Clay Street, San Francisco, CA 94108. 7The Natural Capital Project,
Stanford University, 371 Serra Mall, Stanford, CA 94305, USA. 8School for Environmental and Forest Sciences, 4000
15th Ave NE, University of Washington, Seattle, WA 98195, USA. Correspondence and requests for materials should
be addressed to J.D. (email: jdunne@santafe.edu)
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humans13. Steller’s sea cows ultimately went extinct by 1768 as a result of Russian arrival to the Aleutian Islands
and the introduction of commercial hunting and fishing14.
The Sanak Island Biocomplexity Project was developed to investigate the integration of human foragers into
marine ecosystems in the Western Gulf of Alaska3, a region considered one of the world’s last great fisheries.
This region is inhabited by Aleut, descendants of the first people to inhabit the Aleutian Islands, which they
colonized shorty after deglaciation. The greater far North Pacific ecosystem has experienced human subsistence
harvesting for at least 10,000 years15, and except for a few isolated islands, the entire region was fully occupied
by 7,000 years ago16. As a result, none of the modern fisheries in the region have a well-documented pre-fishing
or pre-human baseline7,11, complicating management decisions. Sanak Island, with an approximately 7,000-year
record of human habitation, is the largest island in a relatively isolated archipelago 50 km south of the mainland
Alaska Peninsula, at the center of the Alaska Current, surrounded by some of the most important fisheries and
sea mammal habitats in the entire Gulf of Alaska, and subject to a suite of competing management regimes. From
the Russians removing the Aleut from the island to protect Enhydra lutris (sea otters) in 1824 to current fisheries
bans to protect Eumetopias jubatus (Steller sea lions), it has also been the center of many endangered species conflicts. The Aleut moved from the Sanak Archipelago in the 1970s, but the nearshore waters are still harvested by
indigenous commercial and subsistence foragers.
In this study, we integrated anthropological data and food web data, analyses, and modeling to explore aspects
of socioecological structure and associated dynamics that may inhibit or facilitate ecosystem stability in this
region. To identify and quantify the trophic roles of human foragers in western Gulf of Alaska marine ecosystems
in terms of their topological positions within complex networks of feeding interactions among taxa, we compiled
detailed, highly resolved food web data for the Sanak intertidal and nearshore ecosystems. These comprehensive,
cumulative food webs represent the architecture of the feeding relationships among co-occurring taxa that lived
or frequently fed in those marine habitats since human introduction. We then used simulations of trophic dynamics to explore to what degree the introduction of a species with human-like food web roles as well as a capacity for
strong feeding is likely to disrupt ecological integrity via subsequent extinctions.
Results and Discussion
Human Roles in Sanak Marine Food Webs. The Sanak intertidal food web has 235 taxa and 1804
trophic links, and the Sanak nearshore food web has 513 taxa and 6774 links (Fig. 1a,b, Supplementary Table S1,
Supplementary Data S1). They are among the largest coastal and marine food web datasets yet compiled and have
unusually detailed resolution of invertebrates and basal (e.g., primary producers) taxa (Fig. 2, Supplementary Fig. S1,
Supplementary Table S1). The Sanak webs are the most diverse and highly and evenly resolved food webs to
include Homo sapiens. Most previously documented food webs with humans have fewer than 35 taxa and 60 links
(Supplementary Table S2). The largest previous web we know of with humans included as a node is the Northeast
US Shelf marine food web with 81 taxa and 1562 links17.
The high quality of the Sanak food web data allows definitive, quantitative comparison of the structural
trophic roles of H. sapiens to those of other species. Humans fed on 70 taxa in the Sanak intertidal web (29.8%),
far exceeding the next most general consumer, Vulpes (arctic fox) with 50 resources. In the nearshore web,
Homo sapiens fed on 122 taxa (23.8%), similar to Gadus macrocephalus (Pacific cod), which fed on 124 taxa,
and far exceeding the next most general consumer, Theragra chalcogramma (Alaska pollock), with 104 resources
(Figs 1c–d and 3, Supplementary Table S3). Humans also exhibited the 3rd and 5th mean shortest path lengths of
taxa in the intertidal and nearshore marine webs, respectively (Supplementary Table S4). Path length refers to
the number of consumer or resource links that connect one species to another in a food web and is one simple
indicator of how quickly effects can spread through a network18,19. The short path lengths reflect the fact that
94.4% and 95.9% of taxa in the intertidal and nearshore habitats, respectively, were within two feeding links of
humans (Fig. 1e,f). Homo sapiens was also the 6th and 15th most omnivorous consumer taxon in the intertidal and
nearshore marine food webs, respectively (Supplementary Table S5), feeding on everything from algae such as
Ulvaceae (sea lettuce) to high trophic level species such as E. jubatus (Steller sea lion) and Lamna ditropis (salmon
shark). The high levels of omnivory result in humans having mid-range trophic levels of 2.98 and 3.98, out of
maxima of 3.98 and 4.94 in the intertidal and nearshore marine webs. In summary, Aleut foragers exceeded 97%
to 100% of other taxa in several key topological roles (generality, omnivory, shortest path length) in the marine
food webs of the Sanak intertidal and nearshore ecosystems.
Human Feeding Behaviors and Potential Extinction Impacts. As a highly omnivorous
“super-generalist” separated by only one or two trophic links from the vast majority of marine species, the Aleut
population of H. sapiens which arrived, established, and persisted on the Sanak Archipelago over the last several
thousand years was poised to have strong effects that could ripple throughout local ecosystems. Potential effects
include depressing abundances of prey taxa, reorganizing community structure and function, and contributing
to or causing short-term local extirpations or long-term extinctions. A few previous studies have suggested that
the presence of humans in the greater Aleutian Island system was associated with shifting species body sizes,
intermittent resource depression, local habitat reorganization, and short-term extirpations12,13,20 through both
direct effects on prey and indirect effects on other species. However, there is little evidence that the presence of
prehistoric humans was associated with long-term extinctions in the Aleutian Islands21. In our study system, there
are no taxa in the Sanak zooarchaeological record that are not represented in the modern marine ecosystem3. It
is possible that the now-extinct Steller’s sea cow, recorded in archaeological material from several more western
Aleutian Islands, once inhabited the Sanak Archipelago, but there was no record of them in Sanak middens, and
in any case their extinction did not occur in prehistoric times13,14.
In addition to the distinctive Aleut topological feeding roles characterized using the Sanak marine food web
data, we considered two aspects of their feeding behavior that may have had strong impacts on extinctions. First,
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Figure 1. Sanak Archipelago food webs. Spheres indicate taxa, lines indicate feeding interactions. Vertical
axis indicates trophic level, calculated using the “short-weighted trophic level” algorithm76. The maximum
trophic level of a taxon in the intertidal and nearshore food webs is 3.98 and 4.94, respectively, and the webs’
mean trophic levels (Supplementary Table S1) are 2.44 and 2.83, respectively. Sphere color indicates type
of taxon: green = algae, blue = miscellaneous (e.g., detritus, protozoa, bacteria, biofilm, lichen, seagrass),
yellow = invertebrates, orange = fishes, red = mammals, purple = birds. Red arrows point to Homo sapiens.
(a) Sanak intertidal web. (b) Sanak nearshore web. (c,d) Sanak intertidal and nearshore webs showing resources
of Homo sapiens in color. (e,f) Sanak intertidal and nearshore webs showing taxa within two links of Homo
sapiens in color. Images created with Network3D72,73, available freely by request to jdunne@santafe.edu.
there is evidence that Aleut people shifted focus on particular resource taxa under different seasonal and environmental constraints, a behavior sometimes referred to as “prey switching.” For example, calmer weather allowed
hunting of off-shore marine mammals such as phocids and otariids from kayaks or at distant haulouts2,3. Periods
of stormy weather and rough seas would have rendered kayaking dangerous22,23, encouraging a switch to foraging
for shellfish in the intertidal zone. These types of foraging shifts would have extended to other terrestrial and
freshwater habitats not analyzed here due to less complete data. For example, during the summer salmon run, the
Aleut of this region stopped foraging in the intertidal and nearshore marine ecosystems to focus on freshwater
fishing of abundant salmon3,22,23. Such prey-switching behavior has been documented for other hunter-gatherer
societies such as foraging peoples in the Arctic24. It is also similar to what has been observed for non-human generalist consumers in a variety of habitats. Prey-switching behavior, which has long been known to enhance ecologically stability25,26, can occur as a result of decreasing abundance and availability of a focal or preferred resource
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Figure 2. Comparison of diversity and types of taxa in marine food webs. First group shows data
for ten coastal webs in order of increasing species richness: Chesap = Chesapeake Bay62; St. Marks = St.
Marks Estuary63; Flens = Flensburg Fjord64; Ythan = Ythan Estuary65; Carp = Carpinteria Salt Marsh66;
Fals = Bahia Falsa66; Otag = Otago Harbor67; Sylt = Sylt Tidal Basin68; Punt = Estero de Punta Banda66;
SanakInt = Sanak Intertidal. Second group shows six marine webs in order of increasing species richness:
Benguela = Benguela Fishery69; CarReefSm = Caribbean Reef, small version70; NE US Shelf = Northeast U.S.
Shelf17; CarReefLar = Caribbean Reef, large version70; Weddell = Weddell Sea71; SanakMar = Sanak Nearshore.
Vertebrate data shown in shades of blue, invertebrate in orange, basal in green. Data shown for trophic species
versions of webs, where taxa with the same set of consumers and resources are aggregated into single nodes60.
The same figure for original species versions of webs is given in Supplementary Figure S1.
Figure 3. Histogram of number of resource taxa per consumer. The vertical axis shows the number of
consumers in that web that have a particular number of resource taxa indicated along the horizontal axis. The
six most generalist taxa are labeled with their common name. (a) Sanak intertidal web. (b) Sanak nearshore web.
species, thus relaxing or removing predation pressure on highly impacted taxa and allowing them to recover.
Prior simulations of food web dynamics have demonstrated a positive relationship between various implementations of this type of adaptive trophic behavior by consumers with multiple resources and the persistence of species
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Figure 4. The impact of an invading generalist on persistence of taxa in food webs. The number of
extinctions that occur when model food webs are invaded by a generalist that has a generality (fraction of taxa
in the food web fed on) of 0.25 (circles), 0.50 (squares), 0.75 (triangles), as a function of the fraction of possible
resource taxa the invading generalist feeds on strongly. (a) Mean number of extinctions. (b) Maximum number
of extinctions. We do not include error bars as the intention of the simulations is to show the variability of the
mean behavior of the model systems under different invasion conditions. Error bars that show the standard
error of the mean become vanishingly small as the number of iterations of the model increases and so are of
no interest. Error bars showing the standard deviation of the distribution just demonstrate variability across
different individual runs of the model, and vary minimally in their magnitude across the different sets of model
runs. Neither aspect of error is appropriate to, or informative of, the analysis presented here.
in complex ecological networks27,28. Second, unlike other non-human consumers, Aleut used foraging technology
that could increase their strength of feeding on some target resource species15. For example, the Aleut used technology such as kayaks, hooks, and spears16 that could make them strong and effective predators.
Using the “Allometric Trophic Network” (ATN) food web model of the nonlinear population biomass dynamics of many interacting species, we simulated the impacts of introducing an omnivorous, super-generalist, and
potentially super-effective predator species on dynamically persistent food webs. The ATN model has often been
used in idealized, exploratory ways similar to how it is used here (e.g.,29–31), but has also been successfully used
to postdict seasonal biomass dynamics in a specific pelagic lake food web where rich temporally resolved data
were available32. In our implementation, the introduced “human-like” species passively switches feeding among
different prey as a result of changes in resource biomasses, in the same way as other consumers with multiple
resources. To include the potential effectiveness of human foraging behavior as a result of use of technology, the
ATN model was modified to allow the invading super-generalist (but not other consumers) to feed more strongly
than expected by allometric scaling (i.e., body size) on a variable fraction of its potential prey.
For ~100 dynamically persistent food webs examined with an average of 41 species, when the introduced
super-generalist omnivore fed strongly on none of its potential prey, there were on average ~4 extinctions that followed. The average extinctions increased to ~6 with strong feeding on 10% of resources, and increased until they
appear to saturate at ~8 given strong feeding on 50% of resources (Fig. 4a). Similar patterns emerged for maximum extinctions (Fig. 4b). These results suggest that while the introduction of a prey-switching and omnivorous
super-generalist into an ecosystem is likely to lead to a small baseline number of extinctions, such impacts are
exacerbated when strong feeding focuses on increasingly greater fractions of available resources. While other factors would likely have promoted or inhibited the long-term coexistence of species in the Sanak archipelago in the
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face of invasion and establishment of a human population that assumed distinctive trophic roles, such as climatic
shifts or recruitment from regional species pools and associated metapopulation dynamics33,34, our simulations
suggest that limited strong feeding behaviors by humans can enhance species persistence within local food webs.
It will be interesting in future modeling work to understand the impact of more or less prey-switching in conjunction with different levels of strong feeding on species extinctions following the invasion of a human-like predator.
There is little doubt that prehistoric human hunter-gatherers35–37 and local indigenous commercial fisheries38
have affected marine ecosystems. Although humans have been a part of the North Pacific ecosystem for millennia,
we have had little knowledge about how they fit into their ecosystems and what impacts they may have had on
ecological function such as maintenance of biodiversity. By treating humans as part of, not external to, ecosystems, we can better understand the historical and current context of human roles in ecological systems. This study
is a first attempt to use structural analysis and dynamical modeling of complex ecological networks to go beyond
conventional notions of human impacts by investigating humans as one component of complex food webs in a
region that supports some of the world’s last great fisheries. Our study suggests that even though human foragers in North Pacific marine ecosystems played special structural roles that could allow impacts of their feeding
behavior to spread quickly throughout food webs potentially resulting in extinctions, limited technology-assisted
strong foraging by a human population which prey-switched like other generalists would have promoted ecological integrity.
Methods
Study Site and Food Web Data. This project focuses on the Sanak Archipelago, 50 km south of the tip of
the Alaska Peninsula. Sanak Island is about 120 km2 in area and has a 7,000-year archaeological record, which is
3000 years less than the record of the greater region, likely due to the remoteness of the archipelago. The coastline
of the Sanak Archipelago contains a mix of semi-exposed rocky intertidal habitats, interspersed with protected
sedimented and boulder-strewn shores. For the intertidal ecosystem, defined as benthic habitat up to the terrestrial vegetation exposed during low tide plus pelagic habitat above the benthos at high tide, we compiled species
lists using a variety of field methods including randomly placed quadrats, sediment cores, and visual searches
at locations spread across the entire archipelago over the span of three years. A full description of the methods
used to catalog intertidal taxa is detailed in Wood et al. 201539. For the nearshore marine ecosystem, defined as
marine habitat within 80 km of the Sanak Archipelago, we inspected shallow benthic habitat (down to 30 feet
below MLLW—mean lower low water, the average height of the lowest recorded tide each day) from the surface
by snorkeling or shore- and boat-based observations, and augmented field observations with published occurrence records40–59. A majority of the taxa included in the nearshore web were reported by the Global Biodiversity
Information Facility (GBIF;47) or Ocean Biographic Information System (OBIS;55) to exist within the bounding-box contained by 163.9°W/52.4°N and 160.2°W/55.0°N. Humans were included in both food webs. Several
ubiquitous microscopic taxa were also assumed to be present in both habitats: Bacteria, Chrysophyta, Ciliophora,
Cyanophycota, Dinophyceae, Euphausiidae, Foraminiferida, Phoronida, Prasinophyta, Prymnesiophyceae,
Radiolaria and Sarcomastigophora. Avian taxa were included in either or both taxa lists based on observed or
recorded extensive foraging in those habitats.
A total of 20,145 feeding links were observed in the field or compiled from descriptions in 1,532 peer-reviewed
publications, dissertations, technical reports, or online databases, a more comprehensive version of the sources
used in Wood et al. 201539. Sources used a variety of methods to assess predation, including direct observation of
feeding in the lab or field, gut or scat contents, and expert opinion. Human feeding links were identified via zooarchaeology of Sanak Island middens3, ethnographic data, and interviews with modern Unangan in the region.
We strived for the highest possible taxonomic resolution in species identifications in the field and in the feeding
data. When information about predators or prey was incomplete, or species could not be identified in the field,
we lumped taxa into coarser-grained groups (e.g., genus or family) according to the taxonomy provided by the
Integrated Taxonomic Information System49. The taxa and trophic link lists are available in Supplementary Data
S1. The intertidal food web is a more resolved version of the Archipelago-wide food web presented by Wood et al.
201539, which did not include humans. Trophic species versions of food webs (Supplementary Table. S1) were
created by aggregating taxa in each web that have the same set of consumers and resources60.
These comprehensive, cumulative food webs represent the architecture of the feeding relationships among
co-occurring taxa that lived or frequently fed in those habitats since human introduction. Although local abundances of taxa have shifted through time at scales that range from seasonal to hundreds of years, regional biodiversity, in terms of species presence/absence, has likely changed relatively little over the period of human
habitation. For example, all marine species collected in Sanak Aleut middens are also present in the current
intertidal or nearshore communities3. Even if a few species went locally extinct for periods of time, network structure analyses of food webs are robust to small changes in the inclusion or exclusion of particular nodes and their
links61. Aspects of the diversity of the Sanak food webs were compared to those of 14 other coastal and marine
webs17,62–71. Network structure analysis and visualization of the resulting intertidal and nearshore marine food
webs was conducted using Network3D72,73.
Food Web Dynamics Modeling. To simulate food web dynamics, we used the Allometric Trophic Network
(ATN) model30–32. Using initial niche model structure74 with 50 species and a connectance of 0.15, we ran the
ATN model with initial species biomasses chosen randomly between 0.1 and 1 and generated 105 dynamically
persistent food webs (species biomass > 10−10 after 4000 time steps) with 33 to 47 taxa (mean = 41). Time steps
are non-dimensional and scaled against the growth rate of the basal species, which have r = 175. Generalist consumers feed on different resources in proportion to the resources’ relative biomasses31, which results in passive
switching among possible prey. We invaded the webs with an omnivorous species (i.e., a predator that feeds on
taxa randomly without regard to trophic level) at three high levels of generality—feeding on 25%, 50%, or 75% of
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the initial 50 taxa. The invading generalist fed strongly on different fractions of its possible prey—0, 0.1, 0.25, 0.5
and 1. The simulations were allowed to run for 3000 time steps, at which point we calculated the fraction of species that had gone extinct, defined as biomass dropping below the same extinction threshold used when creating
the initial set of dynamically persistent webs31.
The ATN model was parameterized as in earlier work31,75 except that the predator-prey body-mass ratio was
set to 100 and attack rate parameters were adjusted to model an invading species that feeds more strongly on some
of its prey than expected by its body-mass-scaled rate parameters. In the ATN model, the functional response
incorporates predators’ attack rates, which are critical for determining the strength of the feeding of predators on
their prey. As in earlier work31,75, we used the functional response
F ij (B) =
aij B1j +q
B01 +q + ∑aik Bk1 +q
(1)
where B0 is the half-saturation density, Bi is the biomass of species i, and q = 0.2, which specifies a weak type III
functional response. The relative attack rate of species i on species j is aij, and the equations are scaled so that
aij = 1/ni where ni is the number of prey of predator i. This sets generalist consumers to feed on different resources
in proportion to the resources’ relative biomasses31,75, which results in passive switching among possible prey.
Also, as the generality of a predator increases, its attack rate on any one prey item decreases. The species we
introduced into each web was allowed to have a varying fraction of feeding links that were stronger than its other
feeding links. The introduced species’ attack rate on those prey was aij = 3/ni, three times higher than the attack
rate on other prey, and three times higher than the attack rate of other predators in the system.
References
1. Jackson, J. B. C. et al. Historical overfishing and the recent collapse of coastal ecosystems. Science 293, 629–638 (2001).
2. Maschner, H., Trites, A. W., Reedy-Maschner, K. L. & Betts, M. W. The decline of Steller sea lions (Eumetopias jubatus) in the North
Pacific: Insights from indigenous people, ethnohistoric records and archaeological data. Fish and Fisheries 15, 634–660 (2014).
3. Maschner, H. D. G. et al. An introduction to the biocomplexity of Sanak Island western Gulf of Alaska. Pacific Science 63, 673–709
(2009).
4. Worm, B. et al. Impacts of biodiversity loss on ocean ecosystem services. Science 314, 787–790 (2006).
5. Worm, B. et al. Rebuilding global fisheries. Science 325, 578–585 (2009).
6. Lotze, H. K., Coll M. & Dunne, J. A. Historical changes in marine resources, food-web structure and ecosystem functioning in the
Adriatic Sea, Mediterranean. Ecosystems 14, 198–222 (2011).
7. Pauly, D. Anecdotes on the shifting baseline syndrome of fisheries. Trend in Ecol Evol 10, 430 (1995).
8. Balsiger, J. W. Authorization of groundfish fisheries under the fishery management plan for groundfish of the Bering Sea and
Aleutian Islands management area. Endangered Species Act – Section 7 Consultation Draft Biological Opinion (National Marine
Fisheries Service) (2010).
9. Reedy-Maschner, K. L. The best-laid plans: limited entry permits and the limited entry systems in eastern Aleut culture. Human
Organization 66, 210–225 (2007).
10. National Research Council of the National Academies, Ocean Studies Board and Polar Research Board. Decline of the Steller Sea Lion
in Alaskan Waters Untangling Food Webs and Fishing Nets (The National Academies Press) (2003).
11. Erlandson. J. M. & Rick, T. C. Archaeology, marine ecology, and human impacts on marine environments in Human Impacts on
Ancient Marine Ecosystems (ed. Rick, T. R., Erlandson, J. M.) 1–19 (University of California Press) (2008).
12. Simenstad, C. A., Estes, J. A. & Kenyon, K. W. Aleuts, sea otters, and alternate stable-state communities. Science 200, 403–411 (1978).
13. Corbett, D. G. et al. Aleut hunters, sea otters, and sea cows in Human Impacts on Ancient Marine Ecosystems (ed. Rick, T. R.,
Erlandson, J. M.) 43–75 (University of California Press) (2008).
14. Domning, D. P., Thomason, J. & Corbett, D. Steller’s sea cow in the Aleutian Islands. Marine Mammal Sci 23, 976–983 (2007).
15. Laughlin, W. Aleut: Survivors of the Bering Land Bridge (Holt, Reinhardt, and Winston) (1980).
16. Maschner, H. D. G. Archaeology of the North Pacific in Oxford Handbook of North American Archaeology (ed. Pauketat, T.) 135–145
(Oxford University Press) (2012).
17. Link, J. Does food web theory work for marine ecosystems? Mar Ecol Prog Ser 230, 1–9 (2002).
18. Dunne, J. A., Williams, R. J. & Martinez, N. D. Food-web structure and network theory: the role of connectance and size. Proc Natl
Acad Sci USA 99, 12917–12922 (2002).
19. Williams, R. J., Berlow, E. L., Dunne, J. A., Barabási, A.-L. & Martinez, N. D. Two degrees of separation in complex food webs. Proc
Natl Acad Sci USA 99, 12913–12916 (2002).
20. Desautels, R. J., McCurdy, A. J., Flynn, J. D. & Elis, R. R. Archaeological Report: Amchitka Island 1969–1970 In US Atomic Energy
Commission Report TID-25481 (Holmes and Narver Inc.) (1971).
21. West, D., Antipushina, Z., Savinetsky, A. B. & Krylovich, O. Invertebrate remains: A pan Aleutian comparison In The People Before:
The Geology, Paleoecology and Archaeology of Adak Island, Alaska (ed. West, D., Hatfield, V., Wilmerding, E., Lefèvre, C. & Gualtieri,
L.) 177–193 (Archaeopress) (2012).
22. Jochelson, W. Archaeological Investigations in the Aleutian Islands (Publications of the Carnegie Institution of Washington) (1925).
23. Veniaminov, I. Notes on the Islands of the Unalashka District [1840] (The Limestone Press) (1984).
24. Betts, M. Seven focal economies for six focal places: The development of economic diversity in the Western Canadian Arctic. Arctic
Anthropology 42, 47–87 (2005).
25. Murdoch, W. W. Switching in general predators: experiments on predator specificity and stability of prey populations. Ecol Monogr
39, 335–354 (1969).
26. Lawton, J. H., Beddington, J. R. & Bonser, R. Switching in invertebrate predators in Ecological Stability (ed. Usher, M. B., Williamson,
M. H.) 141–158 (Springer) (1974).
27. Kondoh, M. Foraging adaptation and the relationship between food-web complexity and stability. Science 299, 1388–1391 (2003).
28. Valdovinos, F., Ramos-Jiliberto, R., Garay-Naváaz, L., Urbani, P. & Dunne, J. A. Consequences of adaptive behaviour for the
structure and dynamics of food webs. Ecol Lett 13, 1546–1559 (2010).
29. Brose, U., Berlow, E. L. & Martinez, N. D. Scaling up keystone effects from simple to complex ecological networks. Ecol Lett 8,
1317–1325 (2005).
30. Brose, U., Williams, R. J. & Martinez, N. D. Allometric scaling enhances stability in complex food webs. Ecol Lett 9, 1228–1236
(2006).
31. Berlow, E. L. et al. Simple prediction of interaction strengths in complex food webs. Proc Natl Acad Sci USA 106, 187–191 (2009).
Scientific Reports | 6:21179 | DOI: 10.1038/srep21179
7
www.nature.com/scientificreports/
32. Boit, A., Martinez, N. D., Williams, R. J. & Gaedke, U. Mechanistic theory and modeling of complex food-web dynamics in Lake
Constance. Ecol Lett 15, 594–602 (2012).
33. Keymer, J. E., Marquet, P. A., Velasco-Hernandes, J. X. & Levin, S. A. Extinction thresholds and metapopulation persistence in
dynamics landscapes. Amer Nat 156, 478–494 (2000).
34. Kritzer, J. P. & Sale, P. F. Metapopulation ecology in the sea: from Levins’ model to marine ecology and fisheries science. Fish Fisheries
5, 131–140 (2004).
35. Braje, T. J. Modern Oceans, Ancient Sites: Archaeology and Marine Conservation on San Miguel Island, California (University of Utah
Press) (2010).
36. Erlandson, J. M. & Rick, T. C. Archaeology meets marine ecology: The antiquity of maritime cultures and human impacts on marine
fisheries and ecosystems. Ann Rev Mar Sci 2, 231–251 (2010).
37. Rick, T. C. Historical ecology and human impacts on coast ecosystems of the Santa Barbara Channel region, California in Human
Impacts on Ancient Marine Ecosystems: A Global Perspective (ed. Rick, T. C., Erlandson, J. M.) 77–102 (University of California Press)
(2008).
38. Arnold, D. The Fishermen’s Frontier: People and Salmon in Southeast Alaska (University of Washington Press) (2008).
39. Wood, S. A., Russell, R., Hanson, D., Williams, R. J. & Dunne, J. A. 2015. Effects of spatial scale of sampling on food web structure.
Ecology and Evolution 5, 3769–3782 (2015).
40. Allen, S. Atlas and Zoogeography of Common Fishes in the Bering Sea and Northeastern Pacific (NOAA Technical Report) (1988).
41. Ashton, G. V., Riedlecker, E. L. & Ruiz, G. M. First non-native crustacean established in coastal waters of Alaska. Aquatic Biology 3,
133–137 (2008).
42. Brodeur, R. D. et al. Rise and fall of jellyfish in the eastern Bering Sea in relation to climate change shifts. Progress in Oceanography
77, 103–111 (2008).
43. Brodeur, R. D. Prey selection by age-0 walley Pollock, Theragra chalcogramma, in nearshore waters of the Gulf of Alaska.
Environmental Biology of Fishes 51, 175–186 (1998).
44. Cadien, D. B. Ampeliscoidea of the NEP (Equator to Aleutians, Intertidal to Abyss): A Review (Southern California Association of
Marine Invertebrate Taxonomists) (2004).
45. Ciannelli, L., Brodeur, R. D. & Napp, J. M. Foraging impact on zooplankton by age-0 walleye pollock (Theragra chalcogramma)
around a front in the southeast Bering Sea. Mar Biol. 144, 515–526 (2004).
46. Gibson, R. N., Atkinson, R. J. A. & Gordon, J. D. M. Oceanography and Marine Biology: An Annual Review (Volume 45, CRC Press,
2007).
47. GBIF. Global Biodiversity Information Facility. http://data.gbif.org. (Date of access: 05/01/2010) (2010).
48. Hoff, B. Results of the 2008 Eastern Bering Sea Upper Continental Slope Survey of Groundfish and Invertebrate Resources. NOAA
Technical Memorandum NMFS-AFSC-197 (2009).
49. ITIS. Integrated Taxonomic Information System. http://www.itis.gov. (Date of access:13/01/2012) (2012).
50. Kashkin, N. I. Vertical distribution of Cyclothone (Gonostomatidae) in the Pacific Ocean (Brief Review). Journal of Ichthyology 35,
53–60 (1995).
51. Razouls, C., de Bovée, F., Kouwenberg, J. & Desreumaux, N. Diversity and Geographic Distribution of Marine Planktoninc
Copepods, 2005-2015. http://copepodes.obs-banyuls.fr/en/ (Date of access: 08/02/2011) (2015).
52. Moles, A., Heifetz, J. & Love, D. C. Metazoan parasites as potential markers for selected Gulf of Alaska rockfishes. Fishery Bulletin
96, 912–916 (1998).
53. Nesis, K. N. Gonatid squids in the subarctic North Pacific: Ecology, biogeography, niche diversity and role in the ecosystem.
Advances in Marine Biology 32, 243–324 (1997).
54. Boyer, T. P. et al. World Ocean Database. NOAA Atlas NESDIS 72. https://www.nodc.noaa.gov/OC5/WOD/pr_wod.html, (2013).
55. Intergovernmental Oceanographic Commission (IOC) of UNESCO. The Ocean Biogeographic Information System. http://www.
iobis.org/ (Date of access: 05/01/2010) (2010).
56. Tollit, D. J. et al. Development and application of DNA techniques for validating and improving pinniped diet estimates. Ecological
Applications 19, 889–905 (2009).
57. Uchikawa, K., Bower, J. R., Sato, Y. & Sakurai, Y. Diet of the minimal armhook squid (Berryteuthis anonychus) (Cephalopoda:
Gonatidae) in the northeast Pacific during spring. Fishery Bulletin 102, 733–739 (2004).
58. Walker, W. A. & Hanson, M. B. Biological observations on Stejneger’s beaked whale, Mesoplodon stejnegeri, from strandings on Adak
Island, Alaska. Marine Mammal Science 15, 1314–1329 (1999).
59. Wing, B. L. New records of Ellobiopsidae (Protista (incertae sedis)) from the North Pacific with a description of Thalassomyces
albatrossin n. sp., a parasite of the mysid Stilomysis major. Fishery Bulletin 73, 169–185 (1975).
60. Briand, F. & Cohen, J. E. Community food webs have scale-invariant structure. Nature 307, 264–266 (1984).
61. Milo, R. et al. Network motifs: simple building blocks of complex networks. Science 298, 763–764 (2002).
62. Baird, D. & Ulanowicz, R. E. The seasonal dynamics of the Chesapeake Bay ecosystem. Ecological Monographs 59, 329–364 (1989).
63. Christian, R. R. & Luczkovich, J. J. Organizing and understanding a winter’s seagrass foodweb network through effective trophic
levels. Ecological Modelling 117, 99–124 (1999).
64. Zander, C. D. et al. Food web including metazoan parasites for a brackish shallow water ecosystem in Germany and Denmark.
Ecology 92, 2007 (2011).
65. Huxham, M., Beany, S. & Raffaelli, D. Do parasites reduce the chances of triangulation in a real food web? Oikos 76, 284–300 (1996).
66. Hechinger, R. F. et al. Food webs including parasites, biomass, body sizes, and life-stages for three California/Baja California
estuaries. Ecology 92, 791 (2011).
67. Mouritsen, K. N., Poulin, R., McLaughlin, J. P. & Thieltges, D. W. Food web including metazoan parasites for an intertidal ecosystem
in New Zealand. Ecology 92, 2006 (2011).
68. Thieltges, D. W., Reise, K., Mouritsen, K. N., McLaughlin, J. P. & Poulin, R. Food web including metazoan parasites for a tidal basin
in Germany and Denmark. Ecology 92, 2005 (2011).
69. Yodzis, P. Local trophodynamics and the interaction of marine mammals and fisheries in the Benguela ecosystem. Journal of Animal
Ecology 67, 635–658 (1998).
70. Opitz, S. Trophic Interactions in Caribbean Coral Reefs. (ICLARM Technical Report 43, 1996).
71. Jacob, U. et al. The role of body size in complex food webs: A cold case. Advances in Ecological Research 45, 181–223 (2011).
72. Yoon, I. et al. Webs on the Web (WoW): 3D visualization of ecological networks on the WWW for collaborative research and
education. Proc IS&T/SPIE Symp Electr Imag, Visual, and Data Analysis 5295, 124–132 (2004).
73. Williams R. J. Network3D. Microsoft Research, Cambridge, UK. URL http://research.microsoft.com/en-us/um/cambridge/groups/
science/tools/network3d/network3d.htm (2010).
74. Williams, R. J. & Martinez, N. D. Simple rules yield complex food webs. Nature 404, 180–183 (2000).
75. Williams, R. J. Effects of network and dynamical model structure on species persistence in large model food webs. Theoretical
Ecology 1, 141–151 (2008).
76. Williams, R. J. & Martinez, N. D. Limits to trophic levels and omnivory in complex food webs: theory and data. The American
Naturalist 163, 458–468 (2004).
Scientific Reports | 6:21179 | DOI: 10.1038/srep21179
8
www.nature.com/scientificreports/
Acknowledgements
This research was funded by NSF Biocomplexity Grant ARC-0508101 to H.M. and N.H. with additional support
to J.A.D. from NSF DBI-0850373 and NSF CNH-1313830. We gratefully acknowledge the support and access
provided by the Sanak Corporation and the Pauloff Harbor Tribe. We especially thank the many undergraduate
and graduate students who helped with fieldwork and laboratory analyses used in this paper; among these the
contributions of Buck Benson, Meghan Collins, Dieta Hanson, Garrett Knudsen, Julie Kramer, Kirsten Sellheim,
Amber Tews, Sarah Ann Thompson, Krystal Williams, Krista Williams, and Megan Wood are acknowledged.
We thank the Idaho State University Office of Research and the Research Vice-President, the Bamfield Marine
Sciences Centre, and the Santa Fe Institute for financial and infrastructure support.
Author Contributions
J.A.D., S.A.W., N.H., R.R., R.J.W. and H.M. designed research; S.A.W., R.R. and M.W.B. collected data; S.A.W.
created the trophic interaction database and led food web compilation; J.A.D. analyzed data; R.J.W. implemented
dynamical simulations; J.A.D. and H.M. wrote the first draft; all authors contributed to the final version of the
paper.
Additional Information
Supplementary information accompanies this paper at http://www.nature.com/srep
Competing financial interests: The authors declare no competing financial interests.
How to cite this article: Dunne, J. A. et al. The roles and impacts of human hunter-gatherers in North Pacific
marine food webs. Sci. Rep. 6, 21179; doi: 10.1038/srep21179 (2016).
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